From d6094bbbbd82e92418aee67dbe674e0df50d8abf Mon Sep 17 00:00:00 2001 From: Serena Zheng Date: Thu, 8 Nov 2018 09:28:15 -0800 Subject: [PATCH] Added link to PlaneIdentifier sample --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 4184ad71..77c5c798 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,8 @@ These generic examples show how to use various models and input feeds with Windo - **[MNIST\UWP\cppcx](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/MNIST/UWP)**: a UWP C++/CX app that uses the MNIST model to detect numberic characters. - **[CustomTensorization](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/CustomTensorization)**: a Windows Console Application (C++/WinRT) that shows how to do custom tensorization. - **[Emoji8](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/Emoji8)**: a UWP C# app that uses the FER Emotion model to evaluate how well the user's facial expressions match randomly selected emojis. +- **[PlaneIdentifier](https://github.com/Microsoft/Windows-AppConsult-Samples-UWP/tree/master/PlaneIdentifier)**: a UWP app and a WPF app packaged with the Desktop Bridge, sharing the same model trained using [Azure Custom Vision service](https://customvision.ai/). For step-by-step instructions for this sample, please see the blog post [Upgrade your WinML application to the latest bits](https://blogs.msdn.microsoft.com/appconsult/2018/11/06/upgrade-your-winml-application-to-the-latest-bits/). + ## Developer Tools - **[WinMLRunner](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Tools/WinMLRunner)**: a command-line tool that can run .onnx or .pb models where the input and output variables are tensors or images. It is a very handy tool to quickly validate an ONNX model. It will attempt to load, bind, and evaluate a model and print out helpful messages. It also captures performance measurements.